Machine Learning Engineer Fraud | Fintech Payments

Now Hiring: Machine Learning Engineer – Fraud | Fintech / PaymentsLocation: Chicago, IL (Onsite/Hybrid)Compensation: $225K–$275K Base + Bonus & EquityIndustry: MUST HAVE Fintech | Payments Infrastructure | Fraud PreventionI'm partnering with a rapidly growing fintech company seeking a Machine Learning Engineer / ML Lead to build and own its fraud detection and risk decisioning systems.Key Responsibilities:Develop and deploy real-time ML models for fraud detection, payment authorization, and merchant risk.Build scalable ML pipelines, feature engineering processes, and MLOps infrastructure.Improve fraud detection, approval rates, and chargeback prevention.Lead ML initiatives from development through production deployment.Technical Requirements:5+ years in Machine Learning, Applied Data Science, or Production ML.Strong experience with Machine Learning, Statistical Modeling, Feature Engineering, MLOps, and Cloud Infrastructure.Experience building production fraud-detection and real-time risk-scoring systems.Background in payments, payment processing, acquiring, PSPs, or PayFacs.Experience with model monitoring, data pipelines, and large-scale transaction data.Preferred: Experience building ML functions from the ground up, real-time scoring, and fraud/chargeback systems.Interested or know someone who might be a fit? Message me to learn more!Sorry, no C2C or sponsorship.#Hiring #MachineLearning #FintechJobs #FraudDetection #ChicagoJobs #MLOps #Payments #ArtificialIntelligence